loading
Documents

Research.Publish.Connect.

Paper

Authors: Ilya Khomyakov ; Zufar Makhmutov ; Ruzilya Mirgalimova and Alberto Sillitti

Affiliation: Innopolis University and Russian Federation

ISBN: 978-989-758-372-8

Keyword(s): Technical Debt, Measurement, Literature Review.

Abstract: Background: Technical Debt (TD) is a quite complex concept that includes several aspect of software development. Often, people talk about TD as the amount of postponed work but this is just a basic approximation of the concept that includes many aspects that are technical and managerial. If TD is managed properly, it can provide a huge advantage but it can also make projects unmaintainable, if not. Therefore, being able of measuring TD is a very important aspect for a proper management of the development process. However, due to the complexity of the concept and the different aspects that are involved, such measurement it not easy and there are several different approaches in literature. Goals: This work aims at investigating the existing approaches to the measurement and the analysis of TD focusing on quantitative methods that could also be automated. Method: The Systematic Literature Review (SLR) approach was applied to 331 studies obtained from the three largest digital libraries a nd databases. Results: After applying all filtering stages, 21 papers out of 331 were selected and deeply analyzed. The majority of them suggested new approaches to measure TD using different criteria not built on top of existing ones. Conclusions: Existing studies related to the measurement of TD were observed and analyzed. The findings have shown that the field is not mature and there are several models that have almost no independent validation. Moreover few tools for helping to automate the evaluation process exist. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.84.139.101

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Khomyakov, I.; Makhmutov, Z.; Mirgalimova, R. and Sillitti, A. (2019). Automated Measurement of Technical Debt: A Systematic Literature Review.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-372-8, pages 95-106. DOI: 10.5220/0007675900950106

@conference{iceis19,
author={Ilya Khomyakov. and Zufar Makhmutov. and Ruzilya Mirgalimova. and Alberto Sillitti.},
title={Automated Measurement of Technical Debt: A Systematic Literature Review},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2019},
pages={95-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007675900950106},
isbn={978-989-758-372-8},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Automated Measurement of Technical Debt: A Systematic Literature Review
SN - 978-989-758-372-8
AU - Khomyakov, I.
AU - Makhmutov, Z.
AU - Mirgalimova, R.
AU - Sillitti, A.
PY - 2019
SP - 95
EP - 106
DO - 10.5220/0007675900950106

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.